Please enable JavaScript.
Coggle requires JavaScript to display documents.
Knowledge-based systems and multi-agent environments - Coggle Diagram
Knowledge-based systems and multi-agent environments
Logical agents
Logical agents are artificial intelligence systems that use logic and inference rules to represent knowledge, reason, and make decisions in uncertain or dynamic environments.
Humans
Pathfinding agents limited
Need a knowledge base
Knowledge Base
A knowledge base is a centralized repository of information, data, and expertise, often used for storing and accessing knowledge within an organization or system.
Wumpus World
Wumpus World is an AI problem-solving environment where agents navigate a grid-like cave system, avoiding hazards like pits and a wumpus monster while searching for gold to maximize their score.
Multi-agent environments
Multi-agent environments are settings in artificial intelligence where multiple agents interact, cooperate, or compete to achieve individual or collective goals.
Communication
Communication in multi-agent environments refers to the exchange of information, messages, or signals between agents to facilitate coordination, collaboration, or negotiation towards achieving common objectives.
Convention
In multi-agent systems, conventions are shared understandings or agreements among agents regarding common behaviors, actions, or protocols to facilitate interaction and cooperation.
Craig Reynolds - boids
Craig Reynolds' Boids is a computer model that simulates the flocking behavior of birds using simple rules for alignment, cohesion, and separation, demonstrating complex group dynamics emerging from individual behaviors.
Separation
Alignment
Cohesion
Emergence
Emergence refers to complex patterns, behaviors, or properties arising from the interactions of simpler elements within a system, without being explicitly programmed or directed.
Conway's Game of Life
Conway's Game of Life is a cellular automaton where cells on a grid evolve through iterations based on simple rules, demonstrating complex, emergent behavior from initial configurations.
Cellular automata
Cellular automata are computational models consisting of grids of cells, each in a finite number of states, evolving over discrete time steps according to simple, local rules.
computer viruses
human diseases
generative music
ALIFE
ALife, or Artificial Life, studies life-like behaviors in software, hardware, and biochemical systems, aiming to understand life through synthetic means.
evolution in action
behaviour and intelligence
synthetic biology
collective dynamics
Web Links
https://www.atlassian.com/itsm/knowledge-management/what-is-a-knowledge-base
https://www.javatpoint.com/agent-environment-in-ai
https://courses.edx.org/asset-v1:ColumbiaX+CSMM.101x+1T2017+type@asset+block@AI_edx_logic__2_.pdf
https://plato.stanford.edu/entries/cellular-automata/